Image-Segmentation

Practical Computer Vision Projects and Applications Practical computer vision helps you turn ideas into usable tools. This guide shares approachable projects and the steps to make them work. You’ll learn how to choose data, pick a model, and measure what matters. The focus is on small, repeatable experiments you can reuse later. Starter projects you can complete in a weekend: Face or person detection in photos with a pre-trained model. This teaches loading models, running inference, and drawing results. People counting in video using simple detectors or background subtraction. You’ll process frames, apply a detector, and count distinct subjects. Road scene segmentation with a lightweight model to label sky, road, and vehicles. It shows data handling, visualization, and simple evaluation. For each project, set a clear objective, keep privacy in mind, and write down what you learn. Validation should be straightforward and repeatable so you can build on your results. ...

Computer Vision and Speech Processing: Trends and Techniques Computer vision and speech processing are core areas of artificial intelligence. They help machines understand what we see and hear. Advances come from better data, bigger models, and faster hardware. Today, many apps use both fields, from video analysis to voice assistants. Clear goals and simple steps make these tools useful for many teams. Trends in vision and speech often move together. Multimodal AI combines images, video, and sound to make smarter systems. Large models use self-supervised learning, so they can learn from lots of unlabeled data. Edge devices now run compact models for real-time tasks, keeping data close to users and reducing latency. ...